Nonlinear System Modeling Using RBF Networks for Industrial Application

@article{Meng2018NonlinearSM,
  title={Nonlinear System Modeling Using RBF Networks for Industrial Application},
  author={Xi Meng and Pawel R{\'o}zycki and Jun-fei Qiao and Bogdan M. Wilamowski},
  journal={IEEE Transactions on Industrial Informatics},
  year={2018},
  volume={14},
  pages={931-940}
}
Radial basis function (RBF) networks, because of their universal approximation ability, have been widely applied to industrial process modeling. In this study, an Improved ErrCor (IErrCor) algorithm—an extension of error correction (ErrCor) algorithm—is proposed, in which compact structure and satisfactory generalization ability can be obtained with only one learning try. First, a second-order-based constructive mechanism guarantees the structure compactness and computational efficiency. Second… CONTINUE READING

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